Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, UK.
Donders Institute for Brain, Cognition, & Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands; Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Neuroimage. 2020 Aug 15;217:116923. doi: 10.1016/j.neuroimage.2020.116923. Epub 2020 May 11.
We present a new software package with a library of standardised tractography protocols devised for the robust automated extraction of white matter tracts both in the human and the macaque brain. Using in vivo data from the Human Connectome Project (HCP) and the UK Biobank and ex vivo data for the macaque brain datasets, we obtain white matter atlases, as well as atlases for tract endpoints on the white-grey matter boundary, for both species. We illustrate that our protocols are robust against data quality, generalisable across two species and reflect the known anatomy. We further demonstrate that they capture inter-subject variability by preserving tract lateralisation in humans and tract similarities stemming from twinship in the HCP cohort. Our results demonstrate that the presented toolbox will be useful for generating imaging-derived features in large cohorts, and in facilitating comparative neuroanatomy studies. The software, tractography protocols, and atlases are publicly released through FSL, allowing users to define their own tractography protocols in a standardised manner, further contributing to open science.
我们提出了一个新的软件包,其中包含了一系列标准化的轨迹追踪协议库,旨在从人类和猕猴大脑中稳健、自动地提取白质束。我们使用来自人类连接组计划(HCP)和英国生物银行的活体数据以及猕猴大脑数据集的离体数据,为这两个物种获得了白质图谱,以及白质-灰质边界上的轨迹终点图谱。我们证明了我们的协议对数据质量具有鲁棒性,可在两个物种之间推广,并且反映了已知的解剖结构。我们进一步表明,它们通过在人类中保留轨迹侧化,以及在 HCP 队列中保留双胞胎的轨迹相似性,来捕获个体间的变异性。我们的结果表明,所提出的工具包将有助于在大型队列中生成基于成像的特征,并促进比较神经解剖学研究。该软件、轨迹追踪协议和图谱通过 FSL 公开发布,允许用户以标准化的方式定义自己的轨迹追踪协议,进一步为开放科学做出贡献。